What is Deepfake Detection?
The process of using automated systems and techniques to identify manipulated or synthetically generated media that use AI to mimic real people with high accuracy.
Deepfakes is a combination of the terms Deep Learning and Fakes. The current explanation is that deepfakes are used to falsify/manipulate images or videos of an event by using a comprehensive and fundamental scanning technique of human images using Deep Learning, a technique of artificial intelligence technology. Deepfakes emerged in 2017, when a Reddit user using the username "Deepfakes" introduced this technology.
The process of using automated systems and techniques to identify manipulated or synthetically generated media that use AI to mimic real people with high accuracy.
Deepfake technology, which is able to manipulate photos, videos or sounds to appear as if they came from a real person, has had a significant impact.
In the security context, deepfakes are a weapon that can be used to spread false information or manipulated videos. The impacts include the potential for reputational damage and even misuse for criminal purposes such as fraud or blackmail. Furthermore, deepfakes can also be used to hack security systems that use facial or voice recognition technology.
On the privacy, deepfakes pose a significant threat with their ability to falsify video or audio depicting individuals in situations that do not actually exist. This can harm individuals personally and professionally, creating vulnerability to potential manipulation and abuse.
Deepfakes have the potential to damage an individual's image and reputation. Content depicting individuals in inappropriate situations or behavior can have serious consequences for public perception of them. Furthermore, the unauthorized use of original material in deepfake content can trigger complex copyright disputes.
Controversies and ethical challenges arise from the unethical use of deepfakes. This can undermine public trust in information and media, and raise legal and regulatory issues related to privacy and security. Improper use of this technology can create vulnerabilities to potentially detrimental social and policy impacts.